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It’s Knot a problem, or is it? | It’s Knot a problem, or is it? |
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| by William Atkins | |
| Saturday, 06 October 2007 | |
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U.S. physicists wondered why string, headphones, and other common extension cords would knot so often. Their experimental findings identified that the length of the string was key to whether it knotted or not, and by how much.
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Dorian M. Raymer and Douglas E. Smith, both from the Department of Physics at the University of California, San Diego, have written their results in the article “Spontaneous knotting of an agitated string”, which appears online on the website of the journal Proceedings of the National Academy of Sciences (PNAS). It will also be published in print in a future issue of the journal (Proc. Natl. Acad. Sci. USA, 10.1073/pnas.0611320104). Wanting to know why knots get into headphone cords and other common electrical cords, the researchers performed a series of experiments. Basically, they dropped various lengths of string into a box and spun the box around for ten seconds. They took images of the result and used a computer to identify the types of knots that formed.
They found that the shortest piece of string to form knots was about 1.5-foot (46-centimeter) long. Longer strings were found to form knots much more often, and in much more complicated forms, than shorter strings. Strings that were about 5 feet (1.5-meter) long formed knots about half of the time. They also found that more knots were formed when the box was spun more. They go on to say, “We performed experiments in which a string was tumbled inside a box and found that complex knots often form within seconds. We used mathematical knot theory to analyze the knots. Above a critical string length, the probability P of knotting at first increased sharply with length but then saturated below 100%. This behavior differs from that of mathematical self-avoiding random walks, where P has been proven to approach 100%. Finite agitation time and jamming of the string due to its stiffness result in lower probability, but P approaches 100% with long, flexible strings.”
They conclude by saying, “We analyzed the knots by calculating their Jones polynomials via computer analysis of digital photos of the string. Remarkably, almost all were identified as prime knots: 120 different types, having minimum crossing numbers up to 11, were observed in 3,415 trials. All prime knots with up to seven crossings were observed. The relative probability of forming a knot decreased exponentially with minimum crossing number and Möbius energy, mathematical measures of knot complexity. Based on the observation that long, stiff strings tend to form a coiled structure when confined, we propose a simple model to describe the knot formation based on random "braid moves" of the string end. Our model can qualitatively account for the observed distribution of knots and dependence on agitation time and string length.” |
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